Fetch a page and return content, headers, and metadata.
$0.01 · BrowserbaseRead moreBuy the data you don’t have. One call at a time.
When a job needs something your own systems cannot answer — who this company is, what the reviews say, what the listing costs — an agent finds the source, shows you the price and your balance, and pays per call from a prepaid wallet. It can never spend more than you have put in it.
SHOWING 61–90 OF 93
Web search with structured results. $0.01 per request…
$0.01 · BrowserbaseRead moreScrape an AutoZone category page into its product shelf with pagination and…
$0.01 · MrScraperRead moreScrape a TikTok Shop product page into structured product…
$0.01 · MrScraperRead moreEnrich a person from identity clues into one scored, normalized…
$0.02 · Context.devRead moreSearch TikTok Shop products by keyword and get structured listings…
$0.02 · MrScraperRead moreScrape Trip.com hotel details and rates by hotel ID and stay…
$0.02 · MrScraperRead moreScrape traveler reviews from a TripAdvisor listing page…
$0.02 · MrScraperRead moreScrape a Watsons category page into its product list with prices and total…
$0.02 · MrScraperRead moreScrape guest reviews from a Hotels.com hotel page…
$0.02 · MrScraperRead moreScrape a Segari (Indonesia) grocery product page into price, stock, rating, and…
$0.02 · MrScraperRead moreAnswer a question with GPT plus live web search, returned as sourced…
$0.03 · MrScraperRead moreScrape Expedia hotel search results for a destination and…
$0.03 · MrScraperRead moreScrape product listings from a 1688.com search or category…
$0.03 · MrScraperRead moreScrape a Shein product page into structured product and pricing…
$0.03 · MrScraperRead moreScrape live Trip.com room rates from a hotel page URL…
$0.03 · MrScraperRead moreScrape an Expedia hotel page URL into its room offers, pricing, and page…
$0.03 · MrScraperRead moreScrape guest reviews from a Trip.com hotel page…
$0.03 · MrScraperRead moreScrape guest reviews from a Booking.com hotel page…
$0.04 · MrScraperRead moreScrape a TikTok Shop category page into its loader data and page…
$0.04 · MrScraperRead moreScrape guest reviews from an Agoda hotel page…
$0.04 · MrScraperRead moreScrape live Booking.com room rates from a hotel page URL…
$0.04 · MrScraperRead moreScrape an Agoda hotel page URL into a flat list of room rate plans with…
$0.05 · MrScraperRead moreScrape an Amazon product page into structured details, pricing, and reviews…
$0.05 · MrScraperRead moreScrape a Nordstrom product page into its full product data…
$0.09 · MrScraperRead moreScrape up to 500 known URLs as one durable job…
Price on request · FirecrawlRead moreCrawl a whole website into clean content, page by page…
Price on request · FirecrawlRead moreScrape one URL into clean, LLM-ready markdown or JSON…
Price on request · FirecrawlRead moreSearch the web and optionally scrape every result…
Price on request · FirecrawlRead moreWarm the brand or styleguide cache for a domain before a…
Price on request · Context.devRead moreFetch a page and return content, headers, and metadata. $0.01 per request.
Web search with structured results. $0.01 per request.
Scrape an AutoZone category page into its product shelf with pagination and filters.
Scrape a TikTok Shop product page into structured product data.
Enrich a person from identity clues into one scored, normalized profile.
Search TikTok Shop products by keyword and get structured listings back.
Scrape Trip.com hotel details and rates by hotel ID and stay dates.
Scrape traveler reviews from a TripAdvisor listing page.
Scrape a Watsons category page into its product list with prices and total count.
Scrape guest reviews from a Hotels.com hotel page.
Scrape a Segari (Indonesia) grocery product page into price, stock, rating, and limits.
Answer a question with GPT plus live web search, returned as sourced Markdown.
Scrape Expedia hotel search results for a destination and dates.
Scrape product listings from a 1688.com search or category page.
Scrape a Shein product page into structured product and pricing data.
Scrape live Trip.com room rates from a hotel page URL.
Scrape an Expedia hotel page URL into its room offers, pricing, and page HTML.
Scrape guest reviews from a Trip.com hotel page.
Scrape guest reviews from a Booking.com hotel page.
Scrape a TikTok Shop category page into its loader data and page metadata.
Scrape guest reviews from an Agoda hotel page.
Scrape live Booking.com room rates from a hotel page URL.
Scrape an Agoda hotel page URL into a flat list of room rate plans with prices.
Scrape an Amazon product page into structured details, pricing, and reviews data.
Scrape a Nordstrom product page into its full product data object.
Scrape up to 500 known URLs as one durable job.
Crawl a whole website into clean content, page by page.
Scrape one URL into clean, LLM-ready markdown or JSON.
Search the web and optionally scrape every result.
Warm the brand or styleguide cache for a domain before a lookup.
It spends nothing until you say so.
An agent can reach every one of these endpoints. It cannot reach your card. Money comes out of a prepaid wallet you top up yourself, and every call that costs anything stops for a person first — with the price and the balance on the approval, before it runs.
- 01You fund the wallet
Top it up with what you are willing to spend. There is no card on file for the marketplace and no invoice at the end of the month — the wallet is the ceiling, and an agent cannot raise it.
- 02The agent asks, with the price on the ask
It finds the source, reads what the call returns and what it costs, and puts that in front of you: this source, this call, this price, this much left in the wallet.
- 03Only then does it run
Approve and the call happens and the wallet goes down by that amount. Decline and nothing is spent and nothing is fetched. Silence is not consent — an unanswered request waits.
The dearest single call in the catalogue is $5.50, and 129 of the endpoints publish no price the agent can read before calling. An agent will not buy one of those: a call whose cost cannot be bounded in advance is refused rather than approved, which is the point of quoting every one of them first.
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